ArticleApplications in plant sciences2020
TagSeq for gene expression in non-model plants: A pilot study at the Santa Rita Experimental Range NEON core site.
Article in Applications in plant sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Gene Expression Divergence Between Locally Adapted Inland Annual and Coastal Perennial Ecotypes of Mimulus guttatus Across Developmental Stages.Molecular ecology · 2025Article
- Can functional genomic diversity provide novel insights into mechanisms of community assembly? A pilot study from an invaded alpine streambed.Ecology and evolution · 2021Article
- TagSeq for gene expression in non-model plants: A pilot study at the Santa Rita Experimental Range NEON core site.Applications in plant sciences · 2020Article
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4 authors.
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Abstract
premiseTagSeq is a cost-effective approach for gene expression studies requiring a large number of samples. To date, TagSeq studies in plants have been limited to those with a high-quality reference genome. We tested the suitability of reference transcriptomes for TagSeq in non-model plants, as part of a study of natural gene expression variation at the Santa Rita Experimental Range National Ecological Observatory Network (NEON) core site.
methodsTissue for TagSeq was sampled from multiple individuals of four species (
resultsA high fraction of tags aligned to each reference and mapped uniquely. Expression patterns were quantifiable for tens of thousands of loci, which revealed consistent spatial differentiation in expression for all species. DISCUSSION: TagSeq using de novo reference transcriptomes was an effective approach to quantifying gene expression in this study. Tags were highly locus specific and generated biologically informative profiles for four non-model plant species.
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